Runnemede: An architecture for Ubiquitous High-Performance Computing
N.P. Carter, Abhishek Agrawal, Shekhar Y. Borkar, Romain E. Cledat, Howard David, Dave Dunning, Joshua B Fryman, Ivan B. Ganev, R. Golliver, Rob Knauerhase, Richard Lethin, Benoît Meister, Asit Kumar Mishra, Wilfred Pinfold, Justin Teller, Josep Torrellas, Nicolas Vasilache, Govindaraj Venkatesh, J. Xu · 2013
DARPA's Ubiquitous High-Performance Computing (UHPC) program asked researchers to develop computing systems capable of achieving energy efficiencies of 50 GOPS/Watt, assuming 2018-era fabrication technologies. This paper describes Runnemede, the research architecture developed by the Intel-led UHPC team. Runnemede is being developed through a co-design process that considers the hardware, the runtime/OS, and applications simultaneously. Near-threshold voltage operation, fine-grained power and clock management, and separate execution units for runtime and application code are used to reduce energy consumption. Memory energy is minimized through application-managed on-chip memory and direct physical addressing. A hierarchical on-chip network reduces communication energy, and a codelet-based execution model supports extreme parallelism and fine-grained tasks. We present an initial evaluation of Runnemede that shows the design process for our on-chip network, demonstrates 2-4x improvements in memory energy from explicit control of on-chip memory, and illustrates the impact of hardware-software co-design on the energy consumption of a synthetic aperture radar algorithm on our architecture.